Multivariate Local Polynomial Fitting for Martingale Nonlinear Regression Models
- Zhan-Qian Lu
DOIAbstract
Partial derivative estimation, nonlinearity in time series, confidence intervals, nonparametric estimation, sunspots data,
Partial derivative estimation, nonlinearity in time series, confidence intervals, nonparametric estimation, sunspots data,
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
Abstract. Local polynomial regression is extremely popular in applied settings. Recent developments ...
AbstractNonparametric regression estimator based on locally weighted least squares fitting has been ...
AbstractWe consider the estimation of the multivariate regression function m(x1, …, xd) = E[ψ(Yd)|X1...
We consider the estimation of multivariate regression functions r(x1,...,xd) and their partial deriv...
Multivariate local polynomial fitting is applied to the multivariate linear heteroscedastic regressi...
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...
AbstractWe consider the estimation of multivariate regression functions r(x1,…,xd) and their partial...
We present a fully automated framework to estimate derivatives nonparametrically without estimating ...
[1] Relationships between hydrologic variables are often nonlinear. Usually, the functional form of ...
International audienceIn this paper we study a local polynomial estimator of the regression function...
summary:Local polynomials are used to construct estimators for the value $m(x_{0})$ of the regressio...
Masry (1996b) provides estimation bias and variance expression for a general local polynomial kernel...
We present a fully automated framework to estimate derivatives nonparametrically without esti-mating...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
Abstract. Local polynomial regression is extremely popular in applied settings. Recent developments ...
AbstractNonparametric regression estimator based on locally weighted least squares fitting has been ...
AbstractWe consider the estimation of the multivariate regression function m(x1, …, xd) = E[ψ(Yd)|X1...
We consider the estimation of multivariate regression functions r(x1,...,xd) and their partial deriv...
Multivariate local polynomial fitting is applied to the multivariate linear heteroscedastic regressi...
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...
AbstractWe consider the estimation of multivariate regression functions r(x1,…,xd) and their partial...
We present a fully automated framework to estimate derivatives nonparametrically without estimating ...
[1] Relationships between hydrologic variables are often nonlinear. Usually, the functional form of ...
International audienceIn this paper we study a local polynomial estimator of the regression function...
summary:Local polynomials are used to construct estimators for the value $m(x_{0})$ of the regressio...
Masry (1996b) provides estimation bias and variance expression for a general local polynomial kernel...
We present a fully automated framework to estimate derivatives nonparametrically without esti-mating...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
Abstract. Local polynomial regression is extremely popular in applied settings. Recent developments ...
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